Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
2. The method of claim 1 wherein the lifetime value for each of the plurality of search queries is set equal to the lifetime value of one of the at least one search terms having the highest matching score to the respective search query.
The method for selecting titles for online content using search query logs, where the value of a search query equals the value of its best-matching search term. The system collects search queries, determines a lifetime value for each, and selects potential titles based on criteria including lifetime value. For each search query, the system identifies the search term that most closely matches it. The lifetime value assigned to the overall search query is then set to be the same as the pre-existing lifetime value that has already been assigned to this best-matching individual search term.
3. The method of claim 1 wherein the lifetime value for each of the plurality of search queries is set equal to an average of the lifetime value of a set of the at least one search terms having the highest matching scores to the respective search query.
The method for selecting titles for online content using search query logs, where the value of a search query equals the average value of its best-matching search terms. The system collects search queries, determines a lifetime value for each, and selects potential titles based on criteria including lifetime value. For each search query, the system identifies a set of search terms that most closely match it. The lifetime value assigned to the overall search query is then calculated as the average of the pre-existing lifetime values of this set of the best-matching individual search terms.
4. The method of claim 1 wherein if one or more of the plurality of search queries do not match any of the plurality of search terms, the lifetime value of the respective search query is set to a default value.
The method for selecting titles for online content using search query logs, where unmatched search queries receive a default value. The system collects search queries, determines a lifetime value for each, and selects potential titles based on criteria including lifetime value. If any collected search query does not have a match to a known search term, instead of skipping or assigning a zero value, the method will assign a pre-configured default lifetime value to that particular search query so that it still participates in the overall content selection process.
5. The method of claim 1 wherein the at least one selection criteria comprises a minimum search query lifetime value.
The method for selecting titles for online content from search queries relies on a minimum lifetime value. The system collects search queries, determines a lifetime value for each, and selects potential titles based on specified selection criteria. One such criterion is a minimum threshold for the calculated "lifetime value" of a potential title. Only search queries exceeding this minimum value are considered suitable for suggesting as potential titles for content development, filtering out less popular or relevant search terms.
6. The method of claim 1 wherein the at least one selection criteria comprises a set of rules.
The method for selecting titles for online content from search queries uses a rule set as a selection criteria. The system collects search queries, determines a lifetime value for each, and selects potential titles based on selection criteria. These selection criteria comprise a set of defined rules. These rules can include a minimum query frequency, a maximum number of words, the absence of blacklisted terms, or any other logical test. The potential titles are selected by applying these rules to the search queries.
7. The method of claim 1 wherein selecting the plurality of potential titles using the at least one selection criteria comprises generating metadata for each of the plurality of search queries.
The method for selecting titles for online content includes generating metadata for search queries. The system collects search queries, determines a lifetime value for each, and selects potential titles based on criteria including lifetime value. Selecting potential titles involves generating metadata for each search query. This metadata provides additional context and information about each query, such as related keywords, search volume trends, or demographic data. The system leverages this metadata to rank, categorize, and filter the search queries, aiding in the title selection process by providing content developers with richer insights.
8. The method of claim 1 additionally comprising: filtering, using the computing device, the plurality of search queries.
The method for selecting titles for online content includes pre-processing search queries using filtering. The system collects a plurality of search queries, determines a lifetime value for each, and selects potential titles based on criteria including the lifetime value. Before lifetime value determination or title selection, the collected search queries are first filtered by the computing device to remove irrelevant or undesirable entries, improving the quality of subsequent analysis and title recommendations.
9. The method of claim 8 wherein filtering comprises eliminating duplicate search queries from the plurality of search queries.
The method for selecting titles for online content includes removing duplicate search queries. As part of the broader process of filtering search queries before using them to suggest content titles, the system identifies and removes any duplicate search queries from the collected dataset, ensuring that each unique query is only considered once, preventing skewed results and improving the efficiency of subsequent processing steps.
10. The method of claim 8 wherein filtering comprises eliminating search queries that do not appear in the plurality of search queries at least a threshold number of times.
The method for selecting titles for online content filters infrequent search queries. As part of the broader process of filtering search queries before using them to suggest content titles, the system eliminates any search queries that do not appear in the collected data at least a specified number of times (a "threshold"), focusing the analysis on more commonly searched terms and reducing the impact of rare or anomalous queries.
11. The method of claim 8 wherein filtering comprises eliminating search queries having one or more words on a blacklist from the plurality of search queries.
The method for selecting titles for online content filters blacklisted search queries. As part of the broader process of filtering search queries before using them to suggest content titles, the system eliminates any search queries containing words from a predefined "blacklist," removing potentially offensive, inappropriate, or otherwise undesirable search terms from consideration.
12. The method of claim 8 wherein filtering comprises correcting misspelled words in the plurality of search queries.
The method for selecting titles for online content includes correcting misspelled words in search queries. As part of the broader process of filtering search queries before using them to suggest content titles, the system attempts to correct spelling errors within the collected search queries using a dictionary or spell-checking algorithm, improving the accuracy of the analysis and potentially uncovering relevant search terms that were initially obscured by typos.
13. The method of claim 1 additionally comprising: normalizing, using the computing device, each of the plurality of potential titles.
The method for selecting titles for online content includes normalizing the potential titles. The system collects search queries, determines a lifetime value for each, and selects potential titles based on criteria including the lifetime value. After potential titles have been selected from the search queries, each title is "normalized" using the computing device, ensuring consistency in formatting, capitalization, and other stylistic elements, improving the overall quality and usability of the generated title suggestions.
14. The method of claim 13 wherein normalizing comprises correcting spelling errors in each of the plurality of potential titles.
The method for selecting titles for online content includes correcting spelling errors in the potential titles. As part of the normalization process that occurs after the system selects potential titles, the system identifies and corrects any spelling errors in each of the potential titles using a dictionary or spell-checking algorithm, ensuring that the final title suggestions are free from typographical errors.
15. The method of claim 13 wherein normalizing comprises correcting grammatical errors in each of the plurality of potential titles.
The method for selecting titles for online content includes correcting grammatical errors in the potential titles. As part of the normalization process that occurs after the system selects potential titles, the system identifies and corrects grammatical errors in each of the potential titles using grammatical rules, natural language processing (NLP) techniques or other appropriate methods to provide grammatically correct suggestions.
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December 9, 2014
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